Best Predictive Maintenance Software - Page 5

Nuvolo Connected Workplace

Nuvolo is a modern, Connected Workplace solution, Built on NOW™. Manage people, places, and assets on one platform, unlocking collaboration and advanced reporting across your organization. By extending the NOW platform across business areas, you can easily automate key facility, workplace and asset management processes, capture actionable data, and ensure all your teams have access to a single source of truth. Handle your maintenance, dispatch, space, reservation, lease, project, and sustainability needs - all while keeping your OT devices secure. We help connect your workplace no matter what your business is. Whether you're in healthcare, retail, high tech, banking, life sciences, manufacturing... we've got you covered. We also offer a Small and Mid-Sized Businesses version.

Average Rating: 4.1/5.0

Total Reviews: 11

OPUS

OPUS is a leading industrial no-code AI platform that allows users to model processes and equipment to identify opportunities for optimization and predictive maintenance. OPUS's real-time insights allow your team to make informed business decisions at every step. Without any programming or coding experience teams can build models to: - Predict when the next failure of undesirable event will occur, - Predict what a value will be in the future, - Identify the root cause of an event, - Identify when equipment or process is degrading or not operating correctly, - Predict when equipment maintenance is required, - Identify opportunities to reduce power consumption, - Identify opportunities to improve productivity, - Optimize settings to improve operational outcomes. Dive deeper into your asset's data than ever before. Discover unexpected correlations that existed unnoticed, and root cause analysis down into individual component level, so you can focus your maintenance efforts. Designed as an enterprise solution, for a holistic view across all plants and facilities. Users can build their own dashboards, set up alerts and stay updated at all times, as macro or micro as they wish. OPUS can be deployed within four weeks and there are no limitations to the number of models you can develop, or individual user costs. Models can be built and deployed in minutes, refreshed based on live operational data continuously. These features allow you to unleash the power of your operational data and experience ROI in next to no time.

Average Rating: 3.8/5.0

Total Reviews: 2

Papillon

An annual downtime of 27 days can cost an offshore oil operation $88M! Lapses in asset reliability result in downtimes, and these downtimes result in companies investing in back-up equipment to ensure uptime. Consequently, they multiply their operations’ carbon footprint. This had led the globally sustainability technology market, already valued at$11B, on a path to cross $36B by 2025. In addition to this, heavy industrial machinery’s reliability management in operations is an exacerbating problem growing at >10% Y-o-Y and is expected to cross $24B by 2025. At Eugenie, we’ve built two products called Ray-Finn and Papillon, which ingest high-velocity, multi-variate data from machine-plugged sensors and SCADA system to predict machinery failures to enable proactive preventive maintenance using patented algorithms, deep technology, AI, and unsupervised ML. The improved reliability management afforded by this reduces dependency on backup systems, helping reduce the carbon footprint contribution of these systems, thus making the overall industrial operations more sustainable. Eugenie’s team comprises global talent holding PhDs and post-graduate degrees from the top academic institutes in India and globally. We’re funded by Fractal Analytics and our vision is validated by the fact that we’ve worked with organizations ranging from the world’s 2nd largest oil major, to a unit of the Indian defense forces. The problem we’re addressing is a pressing concern of decision-makers globally; On Earth Day 2021, U.S. President Joe Biden announced that the U.S. will cut greenhouse gas emissions at least 50% by 2030. Following this, British Prime Minister Boris Johnson announced that the U.K. would cut emissions 78% by 2035. In addition to this, the E.U. pledged to cut emissions 55% by 2030, and finally, Brazil's President Jair Bolsonaro preponed Brazil’s deadline for carbon-neutrality from 2060 to 2050.

Average Rating: 3.0/5.0

Total Reviews: 1

PCE Condition Monitoring

Online condition monitoring systems are based on a history of data that is kept during phases of undisturbed machine and equipment operation. Trends of various machine parameters are stored / mapped continously.

Average Rating: 4.0/5.0

Total Reviews: 1

PMQuest

PMQuest automates and simplifies your preventative maintenance and scheduling to ensure no preventive maintenance task gets missed, thereby ensure maximizing uptime of equipment and minimizing risk of failures.

Average Rating: 4.5/5.0

Total Reviews: 1

PMXpert

PMXpert Software is the most powerful and user-friendly CMMS (Preventive Maintenance Software) program on the market. See for yourself with our no-obligation 30-Day Free Trial.

Average Rating: 4.0/5.0

Total Reviews: 2

SAM4

SAM4 is a condition monitoring system that allows you to monitor the important parts of the drivetrain of an asset in real-time, from the safety of the motor control cabinet.

Average Rating: 4.0/5.0

Total Reviews: 1

SAM GUARD

SAM GUARD®, a cutting-edge predictive analytics software tailored for the process industry, a predictive analytics software for the process industry, quickly and accurately identifies equipment failures and suspicious operating modes days to weeks in advance. By harnessing the combined capabilities of Artificial Intelligence (AI) and Human Enhanced Machine Learning (HI), SAM GUARD® empowers you to elevate your plant's operational availability, performance, and production output. With SAM GUARD®, you gain the ability to: 1. Preemptively detect equipment failures. 2. Pinpoint questionable process behavior. 3. Identify suspicious operational modes. 4. Delve into the underlying causes of anomalies. SAM GUARD® equips you with a comprehensive suite of tools to enhance the reliability and efficiency of your industrial processes.

Average Rating: 4.5/5.0

Total Reviews: 1

Seebo

Seebo's cloud-based software combines tools for IoT Modeling, Simulation, Execution, and Behavior Analytics into pre-packaged business solutions that address new product innovation, product resilience, venue operational excellence, and data-driven services.

Average Rating: 4.5/5.0

Total Reviews: 1

Senseye PdM

Senseye PdM is the only leading cloud-based Predictive Maintenance solution to achieve true Industry 4.0 best practices trusted by Fortune 500 industrial companies worldwide. You can achieve a typical ROI of less than 3 months. Senseye PdM is your operations tool for reducing unplanned machine downtime and increasing Overall Equipment Effectiveness (OEE).

Average Rating: 4.3/5.0

Total Reviews: 3

SKF @ptitude Monitoring Suite

The SKF @ptitude Monitoring Suite (Analyst, Inspector and Observer) forms the basis for a completely integrated approach to condition monitoring, permitting fast, efficient and reliable storage, manipulation and retrieval of large amounts of complex machine and plant information.

Average Rating: 4.5/5.0

Total Reviews: 1

Uptake Radar

Uptake Radar is powered by asset-specific data science bundles from the Uptake Industrial Library to optimize equipment performance.

Average Rating: 5.0/5.0

Total Reviews: 1

Amplo

Amplo is a no code platform that allows industrial customers to automate their machine operations using accessible AI.

ArchiTech Software

ArchiTech provides an AI-powered building intelligence platform that transforms facilities into self-learning systems. Our solution offers real-time performance insights and predictive maintenance to anticipate issues, helping you manage buildings with cutting-edge technology.

ARGUS

ARGUS Tri-axial wireless vibration analyzer brings a new dimension to the world of predictive maintenance to easily diagnose the health of motors and any connected driven assets like pumps, fans, compressors, etc. It enables easy condition monitoring of rotary machines and detects faults well before equipment failure. ARGUS reduces maintenance costs and increases asset lifespan.